Generate Multivariate Gaussian Cloud

This function generates a dataset representing a structure with a Gaussian.

Usage

gen_gaussian(n = 500, p = 4, m = rep(0, p), s = diag(p) * 0.01)

Arguments

n

An integer value (default: 500) representing the sample size.

p

An integer value (default: 4) representing the number of dimensions.

m

A numeric vector (default: c(0, 0, 0, 0)) representing the mean along each dimensions.

s

A numeric matrix (default: diag(4) * 0.01) representing the variance of along each dimension.

Value

A tibble containing a multivariate Gaussian cloud dataset.

Examples

set.seed(20240412)
gaussian <- gen_gaussian(n = 500, p = 4, m = rep(0, 4), s = diag(4))
#> ✔ Data generation completed successfully!!!